Data labeling and exploration tools for Machine Learning
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HumanSignal è un'organizzazione presente su GitHub che si concentra su strumenti di etichettatura e esplorazione dei dati per il Machine Learning. Utilizza principalmente linguaggi come Python, JavaScript e TypeScript. I loro repository notabili includono Label Studio, un potente strumento per l'etichettatura dei dati, e labelImg, un popolare strumento di annotazione delle immagini.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.
A curated list of awesome data labeling tools
Adala: Autonomous DAta (Labeling) Agent framework
Configs and boilerplates for Label Studio's Machine Learning backend
Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package
Tools for converting Label Studio annotations into common dataset formats
Collection of links, tutorials and best practices of how to collect the data and build end-to-end RLHF system to finetune Generative AI models
Label data using HuggingFace's transformers and automatically get a prediction service
Label Studio SDK
Full-fledged Data Exploration Tool for Label Studio
Example Code to Supplement the Label Studio Blog
Awesome List of Human in the Loop resources and references for retraining models.
Nessuna descrizione fornita per questo repository.
A community-driven collection of Label Studio configs for various data annotation tasks.
Heartex Python SDK - Connect your own models to Heartex Data Labeling
Scripts utilizing Heartex platform to build brand sentiment analysis from the news
Nessuna descrizione fornita per questo repository.
Nessuna descrizione fornita per questo repository.
Evaluation metrics package
Plugins to extend Label Studio with custom workflows, integrations, and UI components.
Nessuna descrizione fornita per questo repository.
Tensorflow-based text classifier that could be integrated with Heartex/Label Studio
SmartFew is your swiss knife for semi-supervised structuring of unlabeled data using Few Shot Learning.
A curated list of awesome active learning related topics
PDF format annotation and labeling support for Label Studio
Label Studio ML Tutorial
Automated generation of real Swagger/OpenAPI 2.0 schemas from Django REST Framework code.
DICOM format annotation and labeling support for Label Studio
Agent skill for building labelstudio xml labeling config
Curated collection of Label Studio tutorials
Label Studio website with the documentation
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
Awesome machine learning tools
Materials we publish on Medium and other resources about labeling, machine learning, active learning, etc
Nessuna descrizione fornita per questo repository.
Agent skill for building HumanSignal Interfaces
Place for homebrew formula to live
Articles from the Label Studio Enterprise Support portal
decode audio files using FFmpeg and WebAssembly
NeMo: a toolkit for conversational AI
Publicly accessible repository for demo data, configurations, examples, and tutorials
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
Simple SAML Identity Provider (IdP) for Node
A Slackbot that archives threads to Discourse and suggests previous threads that may answer a user question
A configurable set of panels that display various debug information about the current request/response.
Frontend test suite with Cypress
Used as a base for technical interviews
Label Studio meets weak supervision WIP
Awesome weak supervision
Image segmentation model for Label Studio
A set of rules for the frontend ESLint
HumanSignal sviluppa strumenti per l'etichettatura dei dati e l'esplorazione di dati per il Machine Learning. Le loro soluzioni includono progetti come Label Studio e labelImg, che supportano una varietà di formati di dati.
HumanSignal utilizza principalmente Python, JavaScript, Jupyter Notebook e TypeScript. Questi linguaggi sono fondamentali per i loro progetti di etichettatura e gestione dei dati.
Sì, i repository di HumanSignal su GitHub sono pubblici. Gli utenti possono accedere a una vasta gamma di progetti e strumenti per l'etichettatura dei dati e il Machine Learning.
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